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AF autonoannounce

Build, operate, and troubleshoot Autonoannounce local speaker text-to-speech using the queued pipeline (enqueue to worker to ElevenLabs to playback backend). Requires ELEVENLABS_API_KEY for network synthesis, with optional ELEVENLABS_VOICE_ID and ELEVENLABS_MODEL_ID for voice/model selection. Writes local runtime state to config/tts-queue.json, .openclaw/*, and audio/earcons/*. Uses https://api.elevenlabs.io for synthesis/preflight calls. Use when creating or improving low-latency fire-and-forget TTS flows, tuning burst behavior, validating queue performance, enforcing local-only speech policy, or debugging queue/worker playback failures.

ClawHub Agent Skills author: ironystock v0.2.5 MIT-0 19 files · 11 scripts body ≈ 855 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 53/100 · Will not run — References files that are not bundled: scripts/tts-queue-status.sh, scripts/tts-queue-worker.sh, scripts/tts-queue-daemon.sh

GeneratorSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
F
53/100
Will not run
References files that are not bundled: scripts/tts-queue-status.sh, scripts/tts-queue-worker.sh, scripts/tts-queue-daemon.sh
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 19. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/tts-queue-status.sh
  • warning missing-ref reference to a missing file: scripts/tts-queue-worker.sh
  • warning missing-ref reference to a missing file: scripts/tts-queue-daemon.sh

Process rating: all ten parameters 53/100

Will not run. References files that are not bundled: scripts/tts-queue-status.sh, scripts/tts-queue-worker.sh, scripts/tts-queue-daemon.sh
  • 0Tools and files. 3 referenced file(s) missing: scripts/tts-queue-status.sh, scripts/tts-queue-worker.sh, scripts/tts-queue-daemon.sh
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 41 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 855 tokens
  • 100Running it twice. No mutating operations

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 646: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 41 items
  • +4Reference files are cited in the instructions (5 of 5)
  • +3All 12 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This TTS skill mostly matches its purpose, but it needs Review because parts of its local config can drive file writes and program execution beyond the clearly documented playback paths.
LLM: suspicious (high) · VirusTotal: · 29 May 2026